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PRAGMA Expedition Lake eutrophication

PRAGMA Expedition Lake eutrophication. Paul Hanson, Cayelan Carey, Renato Figueiredo , Craig Snortheim , Luke Winslow. To support the growing global population, agricultural production must increase 70%. There are only a few places remaining to be converted to 100 % food production.

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PRAGMA Expedition Lake eutrophication

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  1. PRAGMA ExpeditionLake eutrophication Paul Hanson, Cayelan Carey, Renato Figueiredo, Craig Snortheim, Luke Winslow

  2. To support the growing global population, agricultural production must increase 70%

  3. There are only a few places remaining to be converted to 100% food production.

  4. Higher food production requires more water and more nutrients. An unintended consequence is eutrophication (excess nutrients that degrade water quality).

  5. Eutrophication leads to… • Poor water clarity • Loss of macrophytes • Bad smell • Toxic water conditions • Dead fish • Reduced ecological and economic value

  6. Confronting even a narrow slice of this global issue requires: • New data, rapidly becoming available • New models for natural systems • Expertise from multiple disciplines – natural sciences, computer science & technology

  7. Expedition: Discover the rules controlling phytoplankton community dynamics and water quality

  8. Goals • Create a collaborative human and technological infrastructure that supports distributed team • Obtain new data from GLEON to confront models • Calibrate a new hydrodynamic-water quality model, GLM-FABM-AED, to Lake Mendota, Wisconsin (USA). • Investigate whether the model can reproduce the observed lake physical-biological features of interest • Consider a different set of rules that govern biological communities in lakes • Expand research to additional lakes and broader research community

  9. Accomplishments • Data for L. Mendota have been obtained • Lake model has been partially calibrated • Default parameters transferred from literature • Physics calibrated • Water quality calibration begun • HTCondor implementation • “R” code wrapper written for the model • Works for physics, now need the water quality • Overlay network (Florida, Virginia Tech. Wisconsin) installed and in use • Expansion to other sites, Australia and New Zealand, has commenced • Simulations for science • Just beginning!!

  10. Exciting outcomes are being realized: • Demonstration of harmonized distributed resources – people, data, technologies • Working phytoplankton emergence model • Management of thousands of scenarios • Visualizations of complex predictions and observations • Students trained in the science and cyber-infrastructure • Engaged GLEON++ community • Contributions to water quality and eutrophication knowledge (papers!)

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